What is the difference between NLP and Machine Learning?

What is the difference between NLP and Machine Learning?

NLP, or Natural Language Processing, is a subset of AI focused on the interaction between computers and human language. Machine Learning, on the other hand, is a broader field that involves algorithms that learn from data. NLP often uses Machine Learning techniques to improve language understanding.

Can you give me examples of how NLP is used?

Sure! NLP is used in applications like chatbots, sentiment analysis, language translation, and voice recognition systems.

Is Machine Learning necessary for NLP?

While not strictly necessary, Machine Learning significantly enhances NLP capabilities, allowing for better understanding and generation of human language.

What are some popular NLP tools?

Some popular NLP tools include NLTK, SpaCy, and Hugging Face's Transformers library.

How do I get started with NLP?

You can start by learning Python and exploring libraries like NLTK or SpaCy. There are also many online courses available.